Responsibilities
- Lead the evolution of a scalable, automated system for detecting fraud and financial crime, balancing security with customer experience and cost efficiency.
- Ensure detection models remain effective and responsive to emerging fraud patterns over time.
- Deliver high-impact machine learning solutions with strong technical leadership.
- Identify top-priority areas across the FinCrime team and lead the creation of technical solutions.
- Collaborate with product managers, data scientists, engineers, and designers in an agile workflow.
- Guide senior stakeholders and contribute to shaping long-term FinCrime strategy.
- Elevate technical standards and practices within the machine learning function.
- Partner across departments to define and prioritize machine learning opportunities in fraud prevention.
- Advance detection capabilities using deep learning, graph networks, and sequence modeling techniques.
- Mentor team members and exemplify best practices to strengthen machine learning expertise.
- Collaborate with MLOps to improve tooling for faster model iteration and full lifecycle optimization.
Benefits
- Stock compensation
- Annual learning budget of £1,000 for books, courses, and conferences
- Flexible working hours
- Relocation support to the UK
- Visa sponsorship
- Option for part-time work when feasible
- Occasional in-person meetings in London
Compensation
Stocks
Work Arrangement
Hybrid — London, Remote UK
Team
Machine Learning
Other
- This role can be based in the London office or remote within the UK.
- Flexible working hours: trust you to work enough hours to do your job well, at times that suit you and your team.
- Learning budget of £1,000 a year for books, training courses and conferences.
- Part-time work is possible whenever feasible.
- Ad hoc meetings in London.
- Relocation to the UK is supported.
- Visa sponsorship is available.
Available
